Security Scan Report: chandrawjamesd.pages.dev

Submitted: Jan 5, 2026, 8:16:48 PMCompleted: Jan 5, 2026, 8:18:34 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 16 domains to perform 31 HTTP transactions. The main domain is chandrawjamesd.pages.dev and was registered NaN years ago.

Submitted URL: https://chandrawjamesd.pages.dev/ybbyy-2025-social-security-payment-schedule-2025-pdf-form-2026-hhzhz/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site shows multiple malicious Indicators of Compromise and deceptive content; treat as high‑risk malware source.

Risk Factors
Presence of malicious Indicators of Compromise for the primary domain
Unranked / low‑reputation domain in Cisco Umbrella
Deceptive garbled OCR content claiming Social Security information
Hosting on pages.dev, which is flagged as malicious
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 Pdf Form - Chandra W James

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(70%)

Domain Information

Domain 'chandrawjamesd.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'chandrawjamesd'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. Segmentation suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://chandrawjamesd.pages.dev/ybbyy-2025-social-security-payment-schedule-2025-pdf-form-2026-hhzhz/

Page Load Overview

39.30s
Total Load Time
36
HTTP Requests
16
Domains
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:3,434 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
70%
finance banking
59%
healthcare medical
42%
adult content
42%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.184.225United States
AS15169GOOGLE
1172.66.40.135Netherlands
1104.20.23.96United States
AS13335CLOUDFLARENET
1172.66.169.241United States
AS13335CLOUDFLARENET
1104.26.4.18Netherlands
1188.114.96.3Netherlands
1188.114.97.3United States
AS13335CLOUDFLARENET
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1150.171.27.10NetherlandsUnknown
1108.167.156.41Ashburn, Virginia, United States
AS31898ORACLE-BMC-31898
3620--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC132A3360E814772E4E87ECC1A2B72CEA699714CA031A69B5FC7068EF80DF245A755D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:RV25ZdapS0n/kST+ZDEQI/WwE2rkWPJOxJNTQJEJ0+1:R2apT7T+WQI/WTWROxJNTQJEJ0+1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42983:EWEWgMAogJKkAlgBUAg4nJABoFC0IECRjCAkAhTBAApOoQ4gAhDxAaNEMIHCAsNFYKQIpWjcFCPHLACBcQAmTAaggqICYTEn

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffffd787878787ff
Perceptual Hash:b6c1c932e6cc26cb
Difference Hash:4c19272f0f2f3f18
Wavelet Hash:efc783838383838f
Color Hash:#8f931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data